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  2. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    Pictures of objects. Detailed object outlines marked. 9146 Images Classification, object recognition 2003 [31] [32] F. Li et al. Caltech-256 Large dataset of images for object classification. Images categorized and hand-sorted. 30,607 Images, Text Classification, object detection 2007 [33] [34] G. Griffin et al. COYO-700M Image–text-pair dataset

  3. Template:Multiple image - Wikipedia

    en.wikipedia.org/wiki/Template:Multiple_image

    The value passed to may be a single number or a list of numbers with each row delimited by /. Can be combined with total_width for automatic sizing of images. Example 1 / 2 / 1: String: optional: Image width: width: Width overrides Width 1, Width 2, Width 3, etc. If you want the images to be different sizes, do not provide the width parameter.

  4. Container (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Container_(abstract_data_type)

    Objects may be accessed directly, by a language loop construct (e.g. for loop) or with an iterator. An associative container uses an associative array, map, or dictionary, composed of key-value pairs, such that each key appears at most once in the container. The key is used to find the value, the object, if it is stored in the container.

  5. Literal (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Literal_(computer_programming)

    In computer science, a literal is a textual representation (notation) of a value as it is written in source code. [1] [2] Almost all programming languages have notations for atomic values such as integers, floating-point numbers, and strings, and usually for Booleans and characters; some also have notations for elements of enumerated types and compound values such as arrays, records, and objects.

  6. Digital image processing - Wikipedia

    en.wikipedia.org/wiki/Digital_image_processing

    Object Detection and Recognition: Identifying and recognising objects within images, especially in complex scenarios with multiple objects and occlusions, poses a significant challenge. Data Annotation and Labelling : Labelling diverse and multiple images for machine recognition is crucial for further processing accuracy, as incorrect ...

  7. Kernel (image processing) - Wikipedia

    en.wikipedia.org/wiki/Kernel_(image_processing)

    The kernel will overlap the neighboring pixels around the origin. Each kernel element should be multiplied with the pixel value it overlaps with and all of the obtained values should be summed. This resultant sum will be the new value for the current pixel currently overlapped with the center of the kernel.

  8. Python Imaging Library - Wikipedia

    en.wikipedia.org/wiki/Python_Imaging_Library

    Python Imaging Library is a free and open-source additional library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. It is available for Windows, Mac OS X and Linux. The latest version of PIL is 1.1.7, was released in September 2009 and supports Python 1.5.2–2.7. [3]

  9. Data type - Wikipedia

    en.wikipedia.org/wiki/Data_type

    The standard type hierarchy of Python 3. In computer science and computer programming, a data type (or simply type) is a collection or grouping of data values, usually specified by a set of possible values, a set of allowed operations on these values, and/or a representation of these values as machine types. [1]